{"id":"https://openalex.org/W2084833933","doi":"https://doi.org/10.1016/s0167-9473(02)00252-9","title":"A sparse matrix approach to Bayesian computation in large linear models","display_name":"A sparse matrix approach to Bayesian computation in large linear models","publication_year":2002,"publication_date":"2002-10-30","ids":{"openalex":"https://openalex.org/W2084833933","doi":"https://doi.org/10.1016/s0167-9473(02)00252-9","mag":"2084833933"},"language":"en","primary_location":{"id":"doi:10.1016/s0167-9473(02)00252-9","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-9473(02)00252-9","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics &amp; Data Analysis","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011926448","display_name":"Darren J. Wilkinson","orcid":"https://orcid.org/0000-0003-0736-802X"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Darren J Wilkinson","raw_affiliation_strings":["School of Mathematics and Statistics, University of Newcastle  Newcastle upon Tyne, NE1 7RU, UK"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, University of Newcastle  Newcastle upon Tyne, NE1 7RU, UK","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054509121","display_name":"Stephen K. H. Yeung","orcid":null},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Stephen KH Yeung","raw_affiliation_strings":["School of Mathematics and Statistics, University of Newcastle  Newcastle upon Tyne, NE1 7RU, UK"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, University of Newcastle  Newcastle upon Tyne, NE1 7RU, UK","institution_ids":["https://openalex.org/I78757542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011926448"],"corresponding_institution_ids":["https://openalex.org/I78757542"],"apc_list":{"value":3340,"currency":"USD","value_usd":3340},"apc_paid":null,"fwci":2.7055,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90812676,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"44","issue":"3","first_page":"493","last_page":"516"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5046695470809937},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4780307710170746},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46938130259513855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4679521322250366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.450111985206604},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4347417950630188},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4147791564464569},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3473295569419861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29862362146377563}],"concepts":[{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5046695470809937},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4780307710170746},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46938130259513855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4679521322250366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.450111985206604},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4347417950630188},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4147791564464569},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3473295569419861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29862362146377563},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/s0167-9473(02)00252-9","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-9473(02)00252-9","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics &amp; Data Analysis","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.26.7271","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.26.7271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ncl.ac.uk/statistics/preprints/STA01-2.pdf","raw_type":"text"},{"id":"pmh:oai:RePEc:eee:csdana:v:44:y:2004:i:3:p:493-516","is_oa":false,"landing_page_url":"http://www.sciencedirect.com/science/article/pii/S0167-9473(02)00252-9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W596638555","https://openalex.org/W1506877805","https://openalex.org/W1512243664","https://openalex.org/W1513861746","https://openalex.org/W1565864173","https://openalex.org/W1981885118","https://openalex.org/W1990923471","https://openalex.org/W2015749074","https://openalex.org/W2035894985","https://openalex.org/W2046584898","https://openalex.org/W2052602889","https://openalex.org/W2054038204","https://openalex.org/W2084416457","https://openalex.org/W2089603425","https://openalex.org/W2095213998","https://openalex.org/W2101517901","https://openalex.org/W2111143989","https://openalex.org/W2136796925","https://openalex.org/W2149857578","https://openalex.org/W2152977846","https://openalex.org/W2162898443","https://openalex.org/W2166414779","https://openalex.org/W2167943787","https://openalex.org/W2615953416","https://openalex.org/W2798909945","https://openalex.org/W3022295647","https://openalex.org/W4247999480","https://openalex.org/W4251251362","https://openalex.org/W4253552061","https://openalex.org/W6617828310","https://openalex.org/W6990123309"],"related_works":["https://openalex.org/W1572523360","https://openalex.org/W2386767533","https://openalex.org/W1568080662","https://openalex.org/W2887599639","https://openalex.org/W2081219400","https://openalex.org/W2114010739","https://openalex.org/W2462574632","https://openalex.org/W3201815179","https://openalex.org/W2531013730","https://openalex.org/W2791084258"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
